Part two of our Complex AI Agents Webinar series is tomorrow. Learn to build AI agents that can automate tasks, streamline workflows, and revolutionize your business processes! RSVP here https://
eventbrite.com/e/878507237797
?aff=oddtdtcreator
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AGENTS
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Complex AI Agents Webinar Series Part Two Tomorrow Registration
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Physics Wallah AI Guru: LangChain RAG Education Tutor
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How Physics Wallah Uses LangChain, DataStax Astra DB, Vector Search and RAG to Revolutionize Education Physics Wallah built an AI Guru – a personalized AI tutor application, to assist students with their academic and support queries. https://
datastax.com/blog/how-physi
cs-wallah-uses-datastax-astra-vector-search-rag-to-revolutionize-education
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Poe Evolves Brand with New Logo for Multi-Bot Experience
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And to better represent this shift to a multi-bot experience, our brand is evolving with a new logo representing what’s now possible on Poe – and what’s coming in the future. (3/4)
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Poe launches multi-bot chat comparison feature
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Multi-bot chat is now available on Poe! Compare responses from multiple bots and add any bot with an @-mention – all within a single conversational thread. (1/4) https://t.co/LZtgpV62HG
— Poe (@poe_platform) 15 avril 2024Multi-bot chat is now available on Poe! Compare responses from multiple bots and add any bot with an @-mention – all within a single conversational thread. (1/4)
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Apify Raises $3M to Expand Developer Community
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Team @apify just raised a round of around USD 3 Million A major part of this is to foster the growth of our developer community. Very excited about the upcoming projects.
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Flow Engineering with CodiumAI and LangGraph Webinar
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Flow Engineering with CodiumAI & LangChain/LangGraph New Webinar Alert: https://
us06web.zoom.us/webinar/regist
er/WN_fVikSl9eQv68b3ZUdQgwzA#/registration
… "Flow Engineering" is a term that has been gaining in popularity recently. The first time it was mentioned as term was in @CodiumAI paper on AlphaCodium, where they used flow -
Planning Pattern: How LLMs Drive Autonomous Agent Decision-Making
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Planning is a key agentic AI design pattern in which we use a large language model (LLM) to autonomously decide on what sequence of steps to execute to accomplish a larger task. For example, if we ask an agent to do online research on a given topic, we might use an LLM to break
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GPT-4 Agent Learns Red Dead Redemption 2 Gameplay
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This experiment built a GPT-4 powered agent to play Red Dead Redemption 2, learning the gameplay from the initial tutorials. It does pretty well on the first couple of missions, the main limitation seems to be the GPT-4V vision system, which can struggle to understand everything
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Iterative Self-Revision and Search for LLM Reasoning Tasks
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6/ Reasoning with Intermediate Revision and Search – presents an approach for general reasoning and search on tasks that can be decomposed into components; incorporates iterative self-revision capabilities and allows an LLM to build an interwoven network of thoughts.
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AI Agents Rapidly Improving: Not Just Hype but Strategic Priority
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I think seeing agents as "hype" is going to result in people being blindsided as they become more powerful in the coming months. Agents are the explicit goal of OpenAI & Google AI. Plus, the improvement in agents over the last year has been pretty rapid.